Evidence map›Paper›PMID 41301233›Full record

ArticleBioengineering (Basel, Switzerland)2025

AI-Assisted Response Surface Methodology for Growth Optimization and Industrial Applicability Evaluation of the Diatom

Eun Song Kim, Soo Jeong Lee, Jung A Lee, Sung Min An, Hyun-Ju Hwang, Bum Soo Park, Hae-Won Lee, Cheol-Ho Pan, Daekyung Kim, Kichul Cho

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Eun Song KimDepartment of Biological Application and Technology, National Marine Biodiversity Institute of Korea, Seocheon 33662, Republic of Korea.ORCID 0000-0003-3953-3712
Soo Jeong LeeDepartment of Biological Application and Technology, National Marine Biodiversity Institute of Korea, Seocheon 33662, Republic of Korea.
Jung A LeeDepartment of Biological Application and Technology, National Marine Biodiversity Institute of Korea, Seocheon 33662, Republic of Korea.
Sung Min AnDepartment of Biological Application and Technology, National Marine Biodiversity Institute of Korea, Seocheon 33662, Republic of Korea.ORCID 0000-0002-9180-309X
Hyun-Ju HwangDepartment of Biological Application and Technology, National Marine Biodiversity Institute of Korea, Seocheon 33662, Republic of Korea.ORCID 0009-0008-4608-7021
Bum Soo ParkDepartment of Environmental Science, Hanyang University, Seoul 04763, Republic of Korea.ORCID 0000-0002-5441-6779
Hae-Won LeeDepartment of Food Bioengineering, Jeju National University, Jeju 63243, Republic of Korea.
Cheol-Ho PanMicroalgae Ask Us Co., Ltd., Gangneung 25441, Republic of Korea.
Daekyung KimDaegu Center, Korea Basic Science Institute (KBSI), Daegu 41566, Republic of Korea.
Kichul ChoDepartment of Biological Application and Technology, National Marine Biodiversity Institute of Korea, Seocheon 33662, Republic of Korea.

Funding

Marine Biodiversity Institute of Korea 2025M00600
6 · The paper itself

Abstract

Although AI-mediated approaches provide promising support for bioengineering using training datasets, their application in microalgal research remains limited. In this study, ChatGPT-4.0, an easily accessible AI model, was employed to optimize culture conditions and evaluate the industrial potential of the isolated diatom

Indexed as

artificial intelligenceChatGPTGedaniella flavovirensindustrial potentialoptimizationresponse surface methodology

Identifiers

PMID41301233
PMCPMC12650378

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.